AI Empowerment of Asian-Australian Migrant Workers: Progress, Potentials, and Patterns
DOI:
https://doi.org/10.3127/ajis.v29.5189Keywords:
AI-human Collaboration, Artificial Intelligence, Migrant Workers, Technology Adoption, AI EmpowermentAbstract
As Artificial Intelligence (AI), particularly generative AI, becomes integral to organizational practices, its capacity to augment human capabilities presents opportunities and challenges. We focus on the integration of AI into the workplace, emphasizing its impact on Asian-Australian migrant workers—a group frequently transitioning from developing to developed economies and facing unique workplace challenges. We explore how AI may not only enhance job performance and integration by overcoming cultural and linguistic barriers but also influences perceptions of overqualification among these workers. Employing psychological empowerment theory and the information systems fusion framework, alongside time-lag surveys and K-means clustering, we introduce a novel AI empowerment scale and investigate the nuanced effects of AI on immigrant workers. Our findings reveal that while AI-driven psychological empowerment increases technology infusion use and overall job performance, it also underscores significant variations in how different demographic groups experience these benefits, offering new insights into the complex interplay between AI empowerment and employee perceptions. The study advances psychological empowerment and perceived overqualification research by revealing AI's varied impacts across workforce clusters. It underscores the need to manage AI carefully to avoid workplace inequalities and calls for further exploration of AI's dynamics in diverse settings.
References
Abad Merino, S. (2014). Dynamics of prosocial behaviour: Subtle bias toward racial and gender groups. Universidad de Córdoba.
Afiouni, R., & Pinsonneault, A. (2023, December 10-13). Human-in-Control: A human-centered model of adaptation to AI augmentation. In Proceedings of the 45th International Conference on Information Systems (ICIS), Hyderabad, India.
Ailon, N., Jaiswal, R., & Monteleoni, C. (2009). Streaming k-means approximation. In Proceedings of the 22nd International Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada.
Alabed, A., Javornik, A., & Gregory-Smith, D. (2022). AI anthropomorphism and its effect on users' self-congruence and self–AI integration: A theoretical framework and research agenda. Technological Forecasting and Social Change, 182, 121786. doi.org/10.1016/j.techfore.2022.121786
Albrecht, S. L., Bocks, A., Dalton, J., Lorigan, A., & Smith, A. (2021). Pro-environmental employee engagement: The influence of pro-environmental organizational, job, and personal resources. Sustainability, 14(1), 43. doi.org/10.3390/su14010043
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Shishakly, R., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., & Al-Maroof, R. S. (2022). Measuring institutions’ adoption of artificial intelligence applications in online learning environments: Integrating the innovation diffusion theory with technology adoption rate. Electronics, 11(20), 3291. doi.org/10.3390/electronics11203291
Almufareh, M. F., Kausar, S., Humayun, M., & Tehsin, S. (2024). A conceptual model for inclusive technology: Advancing disability inclusion through artificial intelligence. Journal of Disability Research, 3(1), 20230060. doi.org/10.57197/jdr-2023-0060
Amankwah-Amoah, J., Abdalla, S., Mogaji, E., Elbanna, A., & Dwivedi, Y. K. (2024). The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda. International Journal of Information Management, 102759. doi.org/10.1016/j.ijinfomgt.2024.102759
Ashforth, B. E. (1989). The experience of powerlessness in organizations. Organizational Behavior and Human Decision Processes, 43(2), 207–242. doi.org/10.1016/0749-5978(89)90051-4
Austin, V., & Holloway, C. (2022). Assistive technology (AT), for what? Societies, 12(6), 169. doi.org/10.3390/soc12060169
Babalola, M. T., Ren, S., Kobinah, T., Qu, Y. E., Garba, O. A., & Guo, L. (2019). Negative workplace gossip: Its impact on customer service performance and moderating roles of trait mindfulness and forgiveness. International Journal of Hospitality Management, 80, 136–143. doi.org/10.1016/j.ijhm.2019.02.007
Balaban, I., Filipović, D., & Zlatović, M. (2023). Post hoc identification of student groups: Combining user modeling with cluster analysis. Education and Information Technologies, 28(6), 7265–7290. doi.org/10.1007/s10639-022-11468-9
Bandura, A. (1990). Perceived self-efficacy in the exercise of control over AIDS infection. Evaluation and Program Planning, 13(1), 9–17. doi.org/10.1016/0149-7189(90)90004-G
Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159–182. doi.org/10.1002/job.2735
Beaudry, A., & Pinsonneault, A. (2005). Understanding user responses to information technology: A coping model of user adaptation. MIS Quarterly, 29(3), 493–524. doi.org/10.2307/25148693
Benbya, H., Davenport, T. H., & Pachidi, S. (2020). Artificial intelligence in organizations: Current state and future opportunities. MIS Quarterly Executive, 19(4). doi.org/10.2139/ssrn.3741983
Benbya, H., Strich, F., & Tamm, T. (2024). Navigating generative artificial intelligence: Promises and perils for knowledge and creative work. Journal of the Association for Information Systems, 25(1), 23–36. doi.org/10.17705/1jais.00872
Besco, R. (2015). Rainbow coalitions or inter-minority conflict? Racial affinity and diverse minority voters. Canadian Journal of Political Science/Revue canadienne de science politique, 48(2), 305–328. doi.org/10.1017/S0008423915000396
Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254. doi.org/10.2307/25148634
Burris, E. R., Detert, J. R., & Romney, A. C. (2013). Speaking up vs. being heard: The disagreement around and outcomes of employee voice. Organization Science, 24(1), 22–38. doi.org/10.1287/orsc.1110.0732
Chen, F. F., Sousa, K. H., & West, S. G. (2005). Teacher's corner: Testing measurement invariance of second-order factor models. Structural Equation Modeling: A Multidisciplinary Journal, 12(3), 471–492. doi.org/10.1207/s15328007sem1203_7
Chen, L., Hsieh, J. P.-A., & Rai, A. (2022). How does intelligent system knowledge empowerment yield payoffs? Uncovering the adaptation mechanisms and contingency role of work experience. Information Systems Research, 33(3), 1042–1071. doi.org/10.1287/isre.2021.1097
Cheng, X. S., Zhang, X. P., Cohen, J., & Mou, J. (2022). Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms. Information Processing & Management, 59(3), 102940. doi.org/10.1016/j.ipm.2022.102940
Chi, N., Lurie, E., & Mulligan, D. K. (2021). Reconfiguring diversity and inclusion for AI ethics. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA. doi.org/10.1145/3461702.3462622
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Routledge. doi.org/10.4324/9780203774441
Côté, S. (1999). Affect and performance in organizational settings. Current Directions in Psychological Science, 8(2), 65–68. doi.org/10.1111/1467-8721.00016
Czarnitzki, D., Fernández, G. P., & Rammer, C. (2023). Artificial intelligence and firm-level productivity. Journal of Economic Behavior & Organization, 211, 188–205. doi.org/10.1016/j.jebo.2023.05.008
D’Silva, J., & Sharma, U. (2020). Unsupervised automatic text summarization of Konkani texts using K-means with Elbow method. International Journal of Engineering Research and Technology, 13(9), 2380–2384. doi.org/10.37624/IJERT/13.9.2020.2380-2384
Davenport, T. H., & Miller, S. M. (2022). Working with AI: Real stories of human-machine collaboration. MIT Press. doi.org/10.7551/mitpress/12127.001.0001
Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology/Psychologie Canadienne, 49(3), 182–185. doi.org/10.1037/a0012801
Demir, M., Dalgıç, A., & Yaşar, E. (2024). How perceived overqualification affects task performance and proactive behavior: The role of digital competencies and job crafting. International Journal of Hospitality & Tourism Administration, 25(3), 552–574. doi.org/10.1080/15256480.2022.2135665
Dixit, S., & Maurya, M. (2021, February 17–19). Equilibrating emotional intelligence and AI-driven leadership for transnational organizations. In Proceedings of the 2021 International Conference on Innovative Practices in Technology and Management (ICIPTM), Uttar Pradesh, India.
Dolan, M., Epstein, A., Lipson, R., & Winiski, E. (2022). Building the new high road: Immigrants and workforce development. Labor Markets & Employment. https://www.pw.hks.harvard.edu/post/new-high-road
Dou, Y. (2023). Does the application of artificial intelligence technology affect employees' turnover intention? In Proceedings of the 2023 6th International Conference on Information Management and Management Science (IMMS), Chengdu, China. doi.org/10.1145/3625469.3625488
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., & Ahuja, M. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. doi.org/10.1016/j.ijinfomgt.2023.102642
Eilers, K., Peters, C., & Leimeister, J. M. (2022). Why the agile mindset matters. Technological Forecasting and Social Change, 179, 121650. doi.org/10.5465/ambpp.2021.13110abstract
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709–1734. doi.org/10.1007/s10796-021-10186-w
Evans, G. (2019). The 'bamboo ceiling' in Australia is real. The Sydney Morning Herald. https://www.gevans.org/opeds/oped208.html
Fiori, M., Bollmann, G., & Rossier, J. (2015). Exploring the path through which career adaptability increases job satisfaction and lowers job stress: The role of affect. Journal of Vocational Behavior, 91, 113–121. doi.org/10.1016/j.jvb.2015.08.010
Gardner, K., & Liu, R. (2010). Claiming their voice: Sociolinguistic factors affecting immigrant workers' ability to speak up. The CATESOL Journal, 21(1), 45–65.
Ghaffari, S., Yousefimehr, B., & Ghatee, M. (2024). Generative-AI in e-commerce: Use-cases and implementations. In Proceedings of the 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), Babol, Iran.
Gist, M. E. (1987). Self-efficacy: Implications for organizational behavior and human resource management. Academy of Management Review, 12(3), 472–485. doi.org/10.5465/amr.1987.4306562
Gladden, M., Fortuna, P., & Modliński, A. (2022). The empowerment of artificial intelligence in post-digital organizations: Exploring human interactions with supervisory AI. Human Technology, 18(2), 98–121. doi.org/10.14254/1795-6889.2022.18-2.2
Gorostiaga Manterola, M. A., Balluerka Lasa, M. N., & Rodríguez López, A. (2022). Assessment of adaptive performance and its role as a moderator of the relationship between person-organization fit and organizational citizenship behaviors. Psicothema. doi.org/10.7334/psicothema2021.310
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis with readings (6th ed.). Pearson Prentice Hall.
Hanson, G. (2022). Immigration and regional specialization in AI. In Robots and AI (pp. 180–231). Routledge. doi.org/10.4324/9781003275534
Harper, L. D., Gertner, A. S., & Guilder, J. A. V. (2004). Perceptive assistive agents in team spaces. In Proceedings of the 9th International Conference on Intelligent User Interfaces (IUI), Funchal, Madeira, Portugal. doi.org/10.1145/964442.964496
Hassandoust, F., & Techatassanasoontorn, A. (2022). Antecedents of IS infusion behaviours: An integrated IT identity and empowerment perspective. Behaviour & Information Technology, 41(11), 2390–2414. doi.org/10.1080/0144929X.2021.1928287
Hekman, D. R., Steensma, H. K., Bigley, G. A., & Hereford, J. F. (2009). Effects of organizational and professional identification on the relationship between administrators' social influence and professional employees' adoption of new work behavior. Journal of Applied Psychology, 94(5), 1325–1335. doi.org/10.1037/a0015315
Hemmige, H., Ellison, R., & Chen, A. (2023). How companies can bring more Asian Americans into the C-suite. Boston Consulting Group. https://www.bcg.com/publications/2023/how-companies-can-promote-asian-american-executives
Henze, R., Norte, E., Sather, S. E., Walker, E., & Katz, A. (2002). Leading for diversity: How school leaders promote positive interethnic relations. Corwin Press.
Herold, D. M., Fedor, D. B., & Caldwell, S. D. (2007). Beyond change management: A multilevel investigation of contextual and personal influences on employees' commitment to change. Journal of Applied Psychology, 92(4), 942–951. doi.org/10.1037/0021-9010.92.4.942
Hillmann, F. (2022). New technologies, migration and the future of work. Journal of Culture, Politics and Innovation, 2022(3), 2283–7949. doi.org/10.12893/gjcpi.2022.3.7
Ho, C. (2020). Aspiration and anxiety: Asian migrants and Australian schooling. Melbourne University Publishing.
Ho, M.-T., Mantello, P., & Ho, M.-T. (2023). An analytical framework for studying attitude towards emotional AI: The three-pronged approach. MethodsX, 10, 102149. doi.org/10.1016/j.mex.2023.102149
Holmström, J. (2022). From AI to digital transformation: The AI readiness framework. Business Horizons, 65(3), 329–339. doi.org/10.1016/j.bushor.2021.03.006
Horowitz, M. C., & Kahn, L. (2024). Bending the automation bias curve: A study of human and AI-based decision making in national security contexts. International Studies Quarterly, 68(2). doi.org/10.1093/isq/sqae020
Hsieh, J. J., & Wang, W. (2007). Explaining employees' extended use of complex information systems. European Journal of Information Systems, 16(3), 216–227. doi.org/10.1057/palgrave.ejis.3000663
Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. doi.org/10.1177/1094670517752459
Huang, M.-H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30–41. doi.org/10.1177/1094670520902266
Hughes, R. T., Zhu, L., & Bednarz, T. (2021). Generative adversarial networks–enabled human–artificial intelligence collaborative applications for creative and design industries: A systematic review of current approaches and trends. Frontiers in Artificial Intelligence, 4, 604234. doi.org/10.3389/frai.2021.604234
Hussain, R., Sabir, A., Lee, D.-Y., Zaidi, S. F. A., Pedro, A., Abbas, M. S., & Park, C. (2024). Conversational AI-based VR system to improve construction safety training of migrant workers. Automation in Construction, 160, 105315. doi.org/10.1016/j.autcon.2024.105315
Hwang, C. Y., Kang, S. W., & Choi, S. B. (2023). Coaching leadership and creative performance: A serial mediation model of psychological empowerment and constructive voice behavior. Frontiers in Psychology, 14, 1077594. doi.org/10.3389/fpsyg.2023.1077594
Hwang, S., & Beauregard, T. A. (2022). Contextualising intersectionality: A qualitative study of East Asian female migrant workers in the UK. Human Relations, 75(4), 609–634. doi.org/10.1177/0018726721989790
Hyun, J. (2005). Breaking the bamboo ceiling: Career strategies for Asians: The essential guide to getting in, moving up, and reaching the top. Harper Business.
IBM. (2023). Best practices for augmenting human intelligence with AI. IBM AI Ethics Board. https://www.ibm.com/blog/best-practices-for-augmenting-human-intelligence-with-ai/
Ibrahim, T., & Rashad, H. (2024). The evolving role of healthcare professionals in the age of AI: Impacts on employment, skill requirements, and professional development. Journal of Artificial Intelligence and Machine Learning in Management, 8(2), 14–21. doi.org/10.1093/inthealth/ihaa007
Ikotun, A. M., Ezugwu, A. E., Abualigah, L., Abuhaija, B., & Heming, J. (2023). K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data. Information Sciences, 622, 178–210. doi.org/10.1016/j.ins.2022.11.139
Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting employees: Upskilling for artificial intelligence in multinational corporations. The International Journal of Human Resource Management, 33(6), 1179–1208. doi.org/10.1080/09585192.2021.1891114
Jarrahi, M. H., Askay, D., Eshraghi, A., & Smith, P. (2023). Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons, 66(1), 87–99. doi.org/10.1016/j.bushor.2022.03.002
Jones, E., Sundaram, S., & Chin, W. (2002). Factors leading to sales force automation use: A longitudinal analysis. Journal of Personal Selling & Sales Management, 22(3), 145–156. doi.org/10.1080/08853134.2002.10754303
Jun, S., Phillips, L. T., & Foster-Gimbel, O. A. (2023). The missing middle: Asian employees’ experience of workplace discrimination and pro-Black allyship. Journal of Applied Psychology, 108(2), 225–240. doi.org/10.1037/apl0001068
Kanbach, D. K., Heiduk, L., Blueher, G., Schreiter, M., & Lahmann, A. (2023). The GenAI is out of the bottle: Generative artificial intelligence from a business model innovation perspective. Review of Managerial Science, 18, 1–32. doi.org/10.1007/s11846-023-00696-z
Karimikia, H. (2017). The impact of positive behaviours on the effectiveness of information systems departments [Doctoral dissertation, Auckland University of Technology].
Karimikia, H., Safari, N., & Singh, H. (2020). Being useful: How information systems professionals influence the use of information systems in enterprises. Information Systems Frontiers, 22, 429–453. doi.org/10.1109/HICSS.2016.585
Kaymakcı, R., Görener, A., & Toker, K. (2022). The perceived overqualification's effect on innovative work behaviour: Do transformational leadership and turnover intention matter? Current Research in Behavioral Sciences, 3, 100068. doi.org/10.1016/j.crbeha.2022.100068
Keith, N., & Frese, M. (2005). Self-regulation in error management training: Emotion control and metacognition as mediators of performance effects. Journal of Applied Psychology, 90(4), 677–691. doi.org/10.1037/0021-9010.90.4.677
Kim, H.-W., & Gupta, S. (2014). A user empowerment approach to information systems infusion. IEEE Transactions on Engineering Management, 61(4), 656–668. doi.org/10.1109/TEM.2014.2354693
Krefft, A., Marcus, B., & Weigelt, O. (2024). Facets of constructive voice behavior: Construct clarification, theoretical refinement, and measurement. Journal of Business Psychology, 1–21. doi.org/10.1007/s10869-024-09932-z
Lee, J., & Zhou, M. (2015). The Asian American achievement paradox. Russell Sage Foundation.
Li, T. J.-J., Lu, Y., Clark, J., Chen, M., Cox, V., Jiang, M., Yang, Y., Kay, T., Wood, D., & Brockman, J. (2022). A bottom-up end-user intelligent assistant approach to empower gig workers against AI inequality. In Symposium on Human-Computer Interaction for Work '22, Durham, US.
Li, Y., Li, Y., Yang, P., & Zhang, M. (2022). Perceived overqualification at work: Implications for voice toward peers and creative performance. Frontiers in Psychology, 13, 835204. doi.org/10.3389/fpsyg.2022.835204
Liao, M., Zhang, M. J., Carnevale, J. B., Huang, C., & Wang, L. (2024). Capable fish or deficient ponds? A meta-analysis of consequences, mechanisms, and moderators of perceived overqualification. Journal of Management. doi.org/10.1177/01492063241239298
Lin, T.-A., & Chen, P.-H. C. (2022). Artificial intelligence in a structurally unjust society. Feminist Philosophy Quarterly, 8(3/4). doi.org/10.5206/fpq/2022.3/4.14191
Lindström, N., Koutsikouri, D., Stier, J., & Arvidsson, M. (2020). Migrant employment integration and artificial intelligence (AI). In Proceedings of the 32nd Annual Workshop of the Swedish Artificial Intelligence Society (SAIS), Stockholm, Sweden.
Liu, H., Yu, K.-H., & Wright, C. F. (2024). Precarious multiculturalism: The racialized experience of Asian in/exclusion in Australia. American Behavioral Scientist. doi.org/10.1177/00027642241231319
Liu, S., Luksyte, A., Zhou, L., Shi, J., & Wang, M. (2015). Overqualification and counterproductive work behaviors: Examining a moderated mediation model. Journal of Organizational Behavior, 36(2), 250–271. doi.org/10.1002/job.1979
Liu, Y., Du, X., & Ma, S. (2023). Innovative study on clustering center and distance measurement of K-means algorithm: MapReduce efficient parallel algorithm based on user data of JD mall. Electronic Commerce Research, 23(1), 43–73. doi.org/10.1007/s10660-024-09837-2
Liu, Y., Liu, D., Du, H., Liu, S., & Zhou, X. (2022). The multilevel study on the impact of high-performance human resource practices on employees’ voice behavior: A moderated mediation model. Frontiers in Psychology, 13, 792329. doi.org/10.3389/fpsyg.2022.792329
Lu, J. G. (2022). A social network perspective on the bamboo ceiling: Ethnic homophily explains why East Asians but not South Asians are underrepresented in leadership in multiethnic environments. Journal of Personality and Social Psychology, 122(6), 959–977. doi.org/10.1037/pspa0000292
Lu, J. G. (2023). A creativity stereotype perspective on the bamboo ceiling: Low perceived creativity explains the underrepresentation of East Asian leaders in the United States. Journal of Applied Psychology, 109(2), 238–256. doi.org/10.1037/apl0001135
Ma, C., Ganegoda, D. B., Chen, Z. X., Jiang, X., & Dong, C. (2020). Effects of perceived overqualification on career distress and career planning: Mediating role of career identity and moderating role of leader humility. Human Resource Management, 59(6), 521–536. doi.org/10.1002/hrm.22009
Mackey, W., Coates, B., & Sherrell, H. (2022). Migrants in the Australian workforce: A guidebook for policy makers. Grattan Institute. https://grattan.edu.au/report/migrants-in-the-australian-workforce/
Mael, F. A., & Tetrick, L. E. (1992). Identifying organizational identification. Educational and Psychological Measurement, 52(4), 813–824. doi.org/10.1177/0013164492052004002
Mantello, P., Ho, M.-T., Nguyen, M.-H., & Vuong, Q.-H. (2023). Bosses without a heart: Socio-demographic and cross-cultural determinants of attitude toward emotional AI in the workplace. AI & Society, 38(1), 97–119. doi.org/10.1007/s00146-021-01290-1
Martinko, M. J., & Gardner, W. L. (1982). Learned helplessness: An alternative explanation for performance deficits. The Academy of Management Review, 7(2), 195–204. doi.org/10.2307/257297
Maynard, D. C., Joseph, T. A., & Maynard, A. M. (2006). Underemployment, job attitudes, and turnover intentions. Journal of Organizational Behavior, 27(4), 509–536. doi.org/10.1002/job.389
Maynard, M., Luciano, M., D'Innocenzo, L., Mathieu, J., & Dean, M. (2014). Modeling time-lagged reciprocal psychological empowerment-performance relationships. Journal of Applied Psychology, 99(4), 737–749. doi.org/10.1037/a0037623
McElheran, K., Li, J. F., Brynjolfsson, E., Kroff, Z., Dinlersoz, E., Foster, L., & Zolas, N. (2024). AI adoption in America: Who, what, and where. Journal of Economics & Management Strategy, 33(2), 375–415. doi.org/10.3386/w31788
Methot, J. R., Lepine, J. A., Podsakoff, N. P., & Christian, J. S. (2016). Are workplace friendships a mixed blessing? Exploring trade-offs of multiplex relationships and their associations with job performance. Personnel Psychology, 69(2), 311–355. doi.org/10.1111/peps.12109
Mittal, P., Jora, R. B., Sodhi, K. K., & Saxena, P. (2023). A review of the role of artificial intelligence in employee engagement. In Proceedings of the 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Tamil Nadu, India.
Mogaji, E., Viglia, G., Srivastava, P., & Dwivedi, Y. K. (2024). Is it the end of the technology acceptance model in the era of generative artificial intelligence? International Journal of Contemporary Hospitality Management. doi.org/10.1108/IJCHM-08-2023-1271
Molix, L., & Bettencourt, B. A. (2010). Predicting well-being among ethnic minorities: Psychological empowerment and group identity. Journal of Applied Social Psychology, 40(3), 513–533. doi.org/10.1111/j.1559-1816.2010.00585.x
Monod, E., Mayer, A.-S., Straub, D., Joyce, E., & Qi, J. (2024). From worker empowerment to managerial control: The devolution of AI tools' intended positive implementation to their negative consequences. Information and Organization, 34(1), 100498. doi.org/10.1016/j.infoandorg.2023.100498
Morris, R. (2008). Looking through the twin lens of race and gender: A new politics of surveillance in Asian Australian and Asian Canadian women's writing.
Muraven, M., & Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: Does self-control resemble a muscle? Psychological Bulletin, 126(2), 247–259. doi.org/10.1037/0033-2909.126.2.247
Ng, E. H., & Kim, H. W. (2009). Investigating information systems infusion and the moderating role of habit: A user empowerment perspective. In Proceedings of the 30th International Conference for Information Systems (ICIS), Phoenix, Arizona, US.
Norton, T. A., Parker, S. L., Zacher, H., & Ashkanasy, N. M. (2015). Employee green behavior: A theoretical framework, multilevel review, and future research agenda. Organization & Environment, 28(1), 103–125. doi.org/10.1177/1086026615575773
Nunnally, J. (1978). An overview of psychological measurement. In Clinical Diagnosis of Mental Disorders: A Handbook (pp. 97–146). doi.org/10.1007/978-1-4684-2490-4
Oetting, M. (2009). Empowered involvement. In Ripple Effect: How Empowered Involvement Drives Word of Mouth (pp. 73–81). Gabler. doi.org/10.1007/978-3-8349-8372-5_5
Ozturkcan, S., & Gashi Nulleshi, S. (2024). Generative artificial intelligence (Gen AI) as a co-creator: Exploring the collaboration between human and machine entrepreneurs. In Proceedings of the Nordic Academy of Management, Reykjavik, Iceland.
Perifanis, N.-A., & Kitsios, F. (2023). Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information, 14(2), 85. doi.org/10.3390/info14020085
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. doi.org/10.1037/0021-9010.88.5.879
Preminger, J. (2020). Meritocracy in the service of ethnocracy. Citizenship Studies, 24(2), 247–263. doi.org/10.1080/13621025.2020.1720604
Pritiprada, P., Satpathy, I., Patnaik, B., & Thaichon, P. (2024). Fostering women's empowerment in Europe: Case studies of innovation in AI, blockchain, and the metaverse. In Technology and Luxury Hospitality (pp. 80–92). Routledge.
Reis, T., Bruchhaus, S., Vu, B., Bornschlegl, M. X., & Hemmje, M. L. (2021). Towards modeling AI-based user empowerment for visual big data analysis. CEUR Workshop Proceedings, 2863, 50–58. https://ceur-ws.org/Vol-2863/paper-07.pdf
Precedence Research. (2024). Artificial intelligence (AI) market – 2024-2034 (global industry analysis, size, share, growth, trends, regional outlook, and forecast). https://www.precedenceresearch.com/artificial-intelligence-market
Rude, B., & Giesing, Y. (2022). Technological change and immigration – A race for talent or of displaced workers. In Beiträge zur Jahrestagung des Vereins für Socialpolitik 2022: Big Data in Economics, Kiel, Germany.
Ruiz, N. G., Noe-Bustamante, L., & Shah, S. (2023). Demographic profile of Asian American adults. In Diverse cultures & shared experiences shape Asian American identities. Pew Research Center. https://www.pewresearch.org/2023/05/08/asian-american-identity-appendix-demographic-profile-of-asian-american-adults/
Ruttiman, J. (2009). Breaking through the “bamboo ceiling” for Asian American scientists. Science, 29(09).
Sarker, S., Susarla, A., Gopal, R., & Thatcher, J. B. (2024). Democratizing knowledge creation through human-AI collaboration in academic peer review. Journal of the Association for Information Systems, 25(1), 158–171. doi.org/10.17705/1jais.00872
Schultheiss, D. E., & Davis, B. L. (2015). Immigrant workers: Career concerns and barriers. In APA handbook of career intervention, Volume 1: Foundations (pp. 259–277). American Psychological Association. doi.org/10.1037/14438-015
Schwartz, J., Denny, B., Mallon, D., Durme, Y. V., Hauptmann, M., Yan, R., & Poynton, S. (2020). Superteams: Putting AI in the group. In Paradox as a path forward. Deloitte. https://www.deloitte.com/global/en/our-thinking/insights/topics/talent/human-capital-trends/2020/human-ai-collaboration.html
Schwarz, A. H. (2003). Defining information technology acceptance: A human-centered, management-oriented perspective [Doctoral dissertation, University of Houston].
Segars, A. H., & Grover, V. (1998). Strategic information systems planning success: An investigation of the construct and its measurement. MIS Quarterly, 22(2), 139–163. doi.org/10.2307/249393
Sehgal, R. (2007). User empowerment: An enabler of enterprise systems success [Doctoral dissertation, Queensland University of Technology].
Seibert, S. E., Silver, S. R., & Randolph, W. A. (2004). Taking empowerment to the next level: A multiple-level model of empowerment, performance, and satisfaction. Academy of Management Journal, 47(3), 332–349. doi.org/10.5465/20159585
Shahapure, K. R., & Nicholas, C. (2020). Cluster quality analysis using silhouette score. In Proceedings of the 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), Piscataway, US.
Shi, Y., & Deng, B. (2024). Finding the sweet spot: Exploring the optimal communication delay for AI feedback tools. Information Processing & Management, 61(2), 103572. doi.org/10.1016/j.ipm.2023.103572
Shrestha, N. J. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11. dx.doi.org/10.12691/ajams-9-1-2
Shukla, S. (2023). Creative computing and harnessing the power of generative artificial intelligence. Journal of Environmental Sciences and Technology, 2(1), 556–579. doi.org/10.5281/zenodo.10847103
Sison, A. J. G., Daza, M. T., Gozalo-Brizuela, R., & Garrido-Merchán, E. C. (2023). ChatGPT: More than a “weapon of mass deception” – Ethical challenges and responses from the human-centered artificial intelligence (HCAI) perspective. International Journal of Human–Computer Interaction, 1–20. doi.org/10.1080/10447318.2023.2225931
Sowa, K., Przegalinska, A., & Ciechanowski, L. (2021). Cobots in knowledge work: Human–AI collaboration in managerial professions. Journal of Business Research, 125, 135–142. doi.org/10.1016/j.jbusres.2020.11.038
Sparreboom, T., & Tarvid, A. (2016). Imbalanced job polarization and skills mismatch in Europe. Journal for Labour Market Research, 49, 15–42. doi.org/10.1007/s12651-016-0196-y
Spreitzer, G. M. (1995). Psychological empowerment in the workplace: Dimensions, measurement, and validation. Academy of Management Journal, 38(5), 1442–1465. doi.org/10.5465/256865
Stewart, K. J., Darcy, D. P., & Daniel, S. L. (2006). Opportunities and challenges applying functional data analysis to the study of open source software evolution. Statistical Science, 21(2), 167–178. doi.org/10.1214/088342306000000141
Sum, N., Lahiri-Roy, R., & Belford, N. (2023). Hope theory as resistance: Narratives of South Asian scholars in Australian academia. Equality, Diversity and Inclusion: An International Journal. doi.org/10.1108/EDI-03-2023-0085
Sumi, E. J., Kabir, M. S., & Alam, M. N. (2024). Artificial intelligence in migrant labour management: A comprehensive review. International Journal for Multidisciplinary Research, 6(1). doi.org/10.36948/ijfmr.2024.v06i01.13041
Sundaram, S., Schwarz, A., Jones, E., & Chin, W. W. (2007). Technology use on the front line: How information technology enhances individual performance. Journal of the Academy of Marketing Science, 35, 101–112. doi.org/10.1007/s11747-006-0010-4
Syed, J. (2008). Employment prospects for skilled migrants: A relational perspective. Human Resource Management Review, 18(1), 28–45. doi.org/10.1016/j.hrmr.2007.12.001
Tadampali, A. C. T., & Hadi, A. (2017). The effect of job satisfaction and organizational commitment on work engagement and performance. In Proceedings of the 2nd International Conference on Education, Science, and Technology (ICEST 2017) (pp. 19). doi.org/10.2991/icest-17.2017.19
Taherizadeh, A., & Beaudry, C. (2023). An emergent grounded theory of AI-driven digital transformation: Canadian SMEs’ perspectives. Industry and Innovation, 30(9), 1244–1273. doi.org/10.1080/13662716.2023.2242285
Thomas, K. W., & Velthouse, B. A. (1990). Cognitive elements of empowerment: An “interpretive” model of intrinsic task motivation. Academy of Management Review, 15(4), 666–681. doi.org/10.2307/258687
Underwood, T. (2024). Will AI make us overconfident? https://tedunderwood.com/2024/08/31/will-ai-make-us-overconfident/
Usmani, U. A., Happonen, A., & Watada, J. (2023). Human-centered artificial intelligence: Designing for user empowerment and ethical considerations. In Proceedings of the 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Istanbul, Turkey.
Vardaman, J. M., Amis, J. M., Dyson, B. P., Wright, P. M., & Van de Graaff Randolph, R. (2012). Interpreting change as controllable: The role of network centrality and self-efficacy. Human Relations, 65(7), 835–859. doi.org/10.1177/0018726712441642
Venkatesh, V. (2022). Adoption and use of AI tools: A research agenda grounded in UTAUT. Annals of Operations Research, 308(1), 641–652. doi.org/10.1007/s10479-020-03918-9
Vichi, M., & Saporta, G. (2009). Clustering and disjoint principal component analysis. Computational Statistics & Data Analysis, 53(8), 3194–3208. doi.org/10.1016/j.csda.2008.05.028
Vomberg, A., & Klarmann, M. (2022). Crafting survey research: A systematic process for conducting survey research. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 67–119). Springer International Publishing. doi.org/10.1007/978-3-319-57413-4_4
Von Krogh, G. (2018). Artificial intelligence in organizations: New opportunities for phenomenon-based theorizing. Academy of Management Discoveries, 4(4), 404–409. doi.org/10.5465/amd.2018.0084
Wang, M., Beal, D. J., Chan, D., Newman, D. A., Vancouver, J. B., & Vandenberg, R. J. (2017). Longitudinal research: A panel discussion on conceptual issues, research design, and statistical techniques. Work, Aging and Retirement, 3(1), 1–24. doi.org/10.1093/workar/waw033
Wang, S. M., Scott, K. M., Artemenko, M., Miceli, M., & Berendt, B. (2023). “We try to empower them” – Exploring future technologies to support migrant jobseekers. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT), Rio de Janeiro, Brazil.
Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114–123.
Wong, L.-W., Tan, G. W.-H., Ooi, K.-B., & Dwivedi, Y. (2024). The role of institutional and self in the formation of trust in artificial intelligence technologies. Internet Research, 34(2), 343–370. doi.org/10.1108/INTR-07-2021-0446
Wu-Gehbauer, M., & Rosenkranz, C. (2024). Towards a framework for developing artificial intelligence systems for human-artificial intelligence augmentation. In Proceedings of the 32nd European Conference on Information Systems (ECIS), Paphos, Cyprus.
Yan, L., & Grossman, G. M. (2023). Robots and AI: A new economic era. Taylor & Francis.
Yildiz, K., Akoğlu, H. E., Emir, E., Angosto, S., & García-Fernández, J. (2024). The perceived effect of digital transformation and resultant empowerment on job performance of employees in the fitness family business. Journal of Family Business Management. doi.org/10.1108/JFBM-02-2024-0038
Yip, T., Cheah, C. S., Kiang, L., & Hall, G. C. N. (2021). Rendered invisible: Are Asian Americans a model or a marginalized minority? American Psychologist, 76(4), 575–586. doi.org/10.1037/amp0000857
Zaza, I., & Junglas, I. (2016). IT self-service engagement: A theory of trying perspective. In Proceedings of the Thirty-Seventh International Conference on Information Systems (ICIS), Dublin, Ireland.
Zhang, P. (2023). Taking advice from ChatGPT. arXiv Preprint arXiv:2305.11888. dx.doi.org/10.48550/arXiv.2305.11888
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